Instructions to use Etelis/TweetEval_ELECTRA_5E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Etelis/TweetEval_ELECTRA_5E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Etelis/TweetEval_ELECTRA_5E")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Etelis/TweetEval_ELECTRA_5E") model = AutoModelForSequenceClassification.from_pretrained("Etelis/TweetEval_ELECTRA_5E", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ada2445167d7c9ae307c8cc2d18bb9a1f1b1be63778433c22e8a0e2e483c978b
- Size of remote file:
- 3.39 kB
- SHA256:
- e45f6df87ec34b0afca6262cab98f7656ca2aee41a7742549fde7139ca6b6dd3
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